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E-commerce
Software Dev

Large-Scale Data Navigation for Merchants

A bright window frames a crisp slice of a huge faint tree of folder rows, one row focused in red.
Published on
November 20, 2024

Problem

Rendering large-scale hierarchical data with over 10,000 nodes while ensuring accessibility (a11y) compliance presented significant challenges in performance and usability. This required a solution capable of supporting drag-and-drop functionality and meeting rigorous accessibility standards without compromising on speed or user experience.

Also applicable to

This challenge is common in industries that deal with extensive hierarchical data or large datasets, including:

  • Content Management Systems (CMS): Organizing and displaying nested categories or assets.
  • Enterprise Resource Planning (ERP): Navigating complex organizational hierarchies.
  • Healthcare Software: Managing large datasets like patient records or diagnostic hierarchies.
  • Data Analytics Platforms: Presenting layered visualizations of analytical insights.
  • Custom CRM Development: Structuring and interacting with intricate customer relationship trees.

Solution

Through our team member’s prior experience designing scalable solutions, we developed a React tree component tailored to address these needs. Key features of the solution include:

  • Deferred Rendering: Ensures high performance even with datasets exceeding 10,000 nodes by rendering only visible parts of the tree.
  • Drag-and-Drop Functionality: Simplifies reordering and interaction with hierarchical data, enhancing usability.
  • Full Accessibility Compliance (a11y): Designed with ARIA rules and best practices to ensure usability for all, including users relying on assistive technologies.

This approach exemplifies the depth of our team’s expertise in scalable application intelligence and UI pattern libraries, allowing us to deliver tools that are both performant and intuitive for diverse use cases.

Impact

  • Enhanced Productivity: Merchants benefited from a highly responsive and accessible tool, enabling them to work more efficiently with hierarchical data.
  • Improved User Experience: The optimized interface encouraged higher engagement and satisfaction, driving better outcomes for the business.
  • Broad Application Potential: The solution’s adaptable design ensures it meets the needs of various industries handling large-scale datasets.

This project reflects the extensive knowledge and hands-on experience within our team, demonstrating how we deliver impactful software solutions that drive ROI, reduce costs, and save time for our clients.

Technologies

  • Frontend Framework: React
  • Programming Language: TypeScript
  • Accessibility Standards: ARIA rules and accessibility best practices
  • Testing Framework: Jest

By leveraging real-world expertise from our team, we provide businesses with innovative and scalable solutions to tackle even the most complex challenges. Our mission is to bring your vision to life with proven strategies and measurable results.

Mojtaba Ebadi
Written byMojtaba EbadiCo-Founder and Chief Operating Officer

Sr. Engineering Leader with 15+ years of experience. Ex-ApplyBoard. AWS Certified Solutions Architect.

Soroush Mehri
Reviewed bySoroush MehriCo-Founder and Chief AI Officer

Ex-Microsoft. 10+ years of experience in AI/ML, MSc from Université de Montréal (Mila). US patent holder.